Extending the Reach of Early Intervention Training for Practitioners
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Early behavioral intervention, based on the methods of applied behavior analysis, has the strongest and most consistent scientific support as a means of teaching skills to young children with Autism Spectrum Disorder and reducing their restricted and maladaptive behavior. Though individual ABA-based treatment plans are usually developed, designed and supervised by a senior-level clinician, they are most often implemented by a practitioner, such as a parent, direct service provider, aide, or an early childhood professional from a related discipline. Unfortunately, few practitioner-orientated training programs are available to geographically disparate persons. Online distance-learning education offers a potential solution to this problem. Fifty-one individuals participated in an initial study of a short, three-module online course. The results showed a highly statistically significant difference between the mean pre-test and post-test score. The outcomes suggest the feasibility and user satisfaction of teaching BI knowledge acquisition online, and thus bolster confidence that future, larger-scale curricula aimed at teaching BI in a distance-learning format is warranted.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it